P86757 AF NFT

Parvalbumin beta 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihggklybduxtvsq2uybfrfrefkv2kmjdfhw57b3fxte36j2qw3fqa/metadata.json
IPFS of structure file: 
bafybeignrfucdkg7ykyp4cu2o2imw2cuibhaygibydca46adtcgfmvpiqa/AF-P86757-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8A95d18E43Cd84939F8B498D22C930eE66984B91
First NFT owner address (bech32): 
genesis1322arrjrekzf88utfxxj9jfsaenfsju3yfw50y
Current NFT ID #311899 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
311899
Accession (UniProt):
P86757
Name::
Parvalbumin beta 2
Experimental Method:
Predicted structure
Sequence source:
Merluccius capensis

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT P86757 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P86757|PRVB2_MERCP Parvalbumin beta 2 OS=Merluccius capensis OX=89947 PE=1 SV=1 AFSGILAEADIAAALKACEAAGTFNYKAFFAKVGLTGKSADDIKKAFFVIDQDKSGFIEEDELKLFLQVFSAGARALTDDETKAFLKAGDSDGDGAIGVEEWAALVKA